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Source assessmentSupporting

Care Robots for the Elderly: Legal, Ethical Considerations and Regulatory Strategies

Care robots for the elderlyAcademicdocument

Assessment outcome

total 2/4 (actionability 1 + authority 1); currency unscored, so pro-rated to 3.0/6

Total2/6
Actionability1/2
Authority1/2
Currency—

Authorship & scope

Attribution (G4 evidence)

Authors Hui Yun Chan and Anantharaman Muralidharan are clearly named.

Issuer authority (evidence)

Score 1: Issued by researchers at the National University of Singapore published in an academic book chapter, acting officially as a reputable institution.

Issuers, who it governs, legal force and content are on the full record.

Eligibility gates

G1 · Retrievablepass

HTTP 200, 2159 words of full text extracted

G2 · AI nexuspass

The source focuses on care robots and artificial intelligence integrated systems.

G3 · Governance nexuspass

The text addresses legal, ethical considerations, and regulatory strategies for care robots.

G4 · Attributablepass

Authors Hui Yun Chan and Anantharaman Muralidharan are clearly named.

G5 · In forcepass

There is no indication on the page that this chapter has been superseded or retracted.

Scored criteria

Actionability

1/2

Score 1: Provides principles and direction for policy developers without naming specific binding obligations or steps.

An examination of these issues provides some guidance for law makers and policy developers in these areas of concern in establishing applicable regulatory direction, responses and governance framework.

Authority

1/2

Score 1: Issued by researchers at the National University of Singapore published in an academic book chapter, acting officially as a reputable institution.

Chan, H.Y., Muralidharan, A. (2024). Care Robots for the Elderly: Legal, Ethical Considerations and Regulatory Strategies.

Currency

—

computed: no publish/modified date found on the page (never guessed)

Classification

Coverage topicCare robots for the elderly
PerspectiveAcademic
Lifecycle stageN/A cross-cutting
Layerboth
Granularitydocument